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Value Maximizing Decisions in the Real Estate Market: Real Options Valuation Approach

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  • Andrejs Čirjevskis

    (Business Department, RISEBA University of Applied Sciences, Meža Street 3, LV-1048 Riga, Latvia)

Abstract

The real estate market of EU countries has undergone a severe global financial crisis 2008–2009, recovered successfully later, and now experiencing significant uncertainty due to the COVID-19 pandemic event. Significant volatility of the real estate business is once again evident, just as it was following the global financial crisis. The paper aims to provide a case study of a real estate project by giving insight into the Latvian real estate project that had been experiencing similar economic uncertainty, to demonstrate hybrid real options valuation (ROV) method to adapt real estate investments to changing circumstances and to develop the decision-making solution to similar EU real estate problems during the pandemic. The paper provides the “step-by-step” ROV application’s methodology in real estate development projects. The presented methodology is a powerful managerial risk management tool for the executives of similar real estate development projects in the EU countries struggling to make investment decisions in the pandemic and post-pandemic period. Since any estimation includes assumptions, ROV results should be interpreted and perceived as approximations only. The future works can provide robust ROV analyses and interpretations regarding the demand for real estate, showing quantitatively how competition can impact strategic investment decisions.

Suggested Citation

  • Andrejs Čirjevskis, 2021. "Value Maximizing Decisions in the Real Estate Market: Real Options Valuation Approach," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:6:p:278-:d:577897
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    References listed on IDEAS

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    Cited by:

    1. Rita Yi Man Li, 2022. "Housing Real Estate Economics and Finance," JRFM, MDPI, vol. 15(3), pages 1-3, March.
    2. Andrejs Čirjevskis, 2021. "Exploring Critical Success Factors of Competence-Based Synergy in Strategic Alliances: The Renault–Nissan–Mitsubishi Strategic Alliance," JRFM, MDPI, vol. 14(8), pages 1-22, August.

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